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Advanced Machine Learning
Paperback
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- Book Synopsis
- Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms.
- About The Author
- Dr. Amit Kumar Tyagi is working as an Assistant Professor, at the National Institute of Fashion Technology, 110016, New Delhi, India. Previously, he has worked as Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, 600127, Chennai, Tamilandu, India for the period of 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013.
- Product Details
-
- ISBN
- 9789355516343
- Format
- Paperback
- Publisher
- BPB Publications, (29 June 2024)
- Number of Pages
- 520
- Weight
- 858 grams
- Language
- English
- Dimensions
- 235 x 191 x 27 mm
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